Evidence map›Paper›PMID 34282214›Full record

ArticleScientific reports2021

Low pan-immune-inflammation-value predicts better chemotherapy response and survival in breast cancer patients treated with neoadjuvant chemotherapy.

Ahmet Bilgehan Şahin, Erdem Cubukcu, Birol Ocak, Adem Deligonul, Sibel Oyucu Orhan, Sahsine Tolunay, Mustafa Sehsuvar Gokgoz, Sibel Cetintas, Gorkem Yarbas, Kazım Senol and 4 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05468710 (The Prognostic and Predictive Role of Inflammatory Blood Markers in Early and Locally Advanced Breast Cancer Patients Receiving Neoadjuvant Chemotherapy), which is not on this map. Cited by 93 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
93citing papers in PubMed, 8 pooled it
7.0field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05468710 unknown statusnot on this mapstarted 2022, after this paper: background citation

The Prognostic and Predictive Role of Inflammatory Blood Markers in Early and Locally Advanced Breast Cancer Patients Receiving Neoadjuvant Chemotherapy

TypeobservationalSponsorAin Shams UniversityRan2022 to 2023Enrolled150ConditionsBreast Cancer
3 · Its place in the literature

Who cites it

93 citing papers in PubMed, 8 syntheses or guidelines pooled it, 114 citations in OpenAlex.

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  13. PIV, PNI and HALP score for predicting pathological complete response in breast cancer after neoadjuvant chemotherapy: a systematic review and meta-analysis.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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33 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 1 institution in 1 country.

Ahmet Bilgehan ŞahinDepartment of Medical Oncology, School of Medicine, Bursa Uludag University, 16059, Gorukle, Nilufer, Bursa, Turkey. absahin@uludag.edu.tr.
Erdem CubukcuDepartment of Medical Oncology, School of Medicine, Bursa Uludag University, 16059, Gorukle, Nilufer, Bursa, Turkey.
Birol OcakDepartment of Medical Oncology, School of Medicine, Bursa Uludag University, 16059, Gorukle, Nilufer, Bursa, Turkey.
Adem DeligonulDepartment of Medical Oncology, School of Medicine, Bursa Uludag University, 16059, Gorukle, Nilufer, Bursa, Turkey.
Sibel Oyucu OrhanDepartment of Medical Oncology, School of Medicine, Bursa Uludag University, 16059, Gorukle, Nilufer, Bursa, Turkey.
Sahsine TolunayDepartment of Pathology, School of Medicine, Bursa Uludag University, Bursa, Turkey.
Mustafa Sehsuvar GokgozSchool of Medicine, General Surgery, Bursa Uludag University, Bursa, Turkey.
Sibel CetintasDepartment of Radiation Oncology, School of Medicine, Bursa Uludag University, Bursa, Turkey.
Gorkem YarbasDepartment of Internal Medicine, School of Medicine, Bursa Uludag University, Bursa, Turkey.
Kazım SenolSchool of Medicine, General Surgery, Bursa Uludag University, Bursa, Turkey.
Mehmet Refik GoktugDepartment of Internal Medicine, School of Medicine, Bursa Uludag University, Bursa, Turkey.
Zeki Burak YanasmaDepartment of Internal Medicine, School of Medicine, Bursa Uludag University, Bursa, Turkey.
Ulviyya HasanzadeDepartment of Internal Medicine, School of Medicine, Bursa Uludag University, Bursa, Turkey.
Turkkan EvrenselDepartment of Medical Oncology, School of Medicine, Bursa Uludag University, 16059, Gorukle, Nilufer, Bursa, Turkey.
Bursa Uludağ Üni̇versi̇tesi̇ · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Blood-based biomarkers reflect systemic inflammation status and have prognostic and predictive value in solid malignancies. As a recently defined biomarker, Pan-Immune-Inflammation-Value (PIV) integrates different peripheral blood cell subpopulations. This retrospective study of collected data aimed to assess whether PIV may predict the pathological complete response (pCR) to neoadjuvant chemotherapy (NAC) in Turkish women with breast cancer. The study consisted of 743 patients with breast cancer who were scheduled to undergo NAC before attempting cytoreductive surgery. A pre-treatment complete blood count was obtained in the two weeks preceding NAC, and blood-based biomarkers were calculated from absolute counts of relevant cell populations. The pCR was defined as the absence of tumor cells in both the mastectomy specimen and lymph nodes. Secondary outcome measures included disease-free survival (DFS) and overall survival (OS). One hundred seven patients (14.4%) had pCR. In receiver operating characteristic analysis, optimal cut-off values for the neutrophile-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte (PLR), PIV, and Ki-67 index were determined as ≥ 2.34, ≥ 0.22, ≥ 131.8, ≥ 306.4, and  ≥ 27, respectively. The clinical tumor (T) stage, NLR, MLR, PLR, PIV, estrogen receptor (ER) status, human epidermal growth factor receptor-2 (HER-2) status, and Ki-67 index were significantly associated with NAC response in univariate analyses. However, multivariate analysis revealed that the clinical T stage, PIV, ER status, HER-2 status, and Ki-67 index were independent predictors for pCR. Moreover, the low PIV group patients had significantly better DFS and OS than those in the high PIV group (p = 0.034, p = 0.028, respectively). Based on our results, pre-treatment PIV seems as a predictor for pCR and survival, outperforming NLR, MLR, PLR in predicting pCR in Turkish women with breast cancer who received NAC. However, further studies are needed to confirm our findings.

Indexed as

AdultAgedAged, 80 and overAntineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorBreast NeoplasmsCombined Modality TherapyFemaleHumansInflammationMastectomyMiddle AgedNeoadjuvant TherapyPredictive Value of TestsPrognosisResearch DesignBiomarkers, Tumor

Identifiers

PMID34282214
PMCPMC8289916
OpenAlexW3183986463

What OpenQuestion holds

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LicenceCC BY
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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.